PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 13, 2026Journal of Computer Assisted Tomography0 citations

MRI-Based Quantitative Assessment of Calcific Tendinopathy: Imaging Predictors and Thresholds for Rotator Cuff Tear Detection

View Full Paper
SBSafiye Sanem Dereli BulutBABerfin Akcayoz

Key Points

  • This research aims to identify MRI-derived predictors for detecting rotator cuff tears in calcific tendinopathy.
  • Analyzed MRI scans for calcification morphology and size.
  • Measured bursal thickness in subjects with calcific tendinopathy.
  • Identified thresholds for predictors to correlate with rotator cuff tears.
  • Deposit size of 9 mm or greater is a significant predictor of rotator cuff tears.
  • Bursal thickness of 5 mm or greater correlates with higher detection rates of tears.
  • Morphological features of calcification are essential for MRI interpretation.

Abstract

MRI-derived multifocal calcification morphology, deposit size ≥9 mm, and bursal thickness ≥5 mm are significant predictors of RC tears in CaT. Quantitative assessment of these parameters can enhance MRI interpretation and may guide early management decisions.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Bulut et al. (2026) studied this question.

synapsesocial.com/papers/69b3ac2b02a1e69014ccda2dhttps://doi.org/10.1097/rct.0000000000001861
Ask AI
Helpful
Bookmark
Share
View Full Paper